Run: 2026-03-11-01KKFJZ9X88HD7EDT1B0VV14WC

Run Details

Duration:
53.9s
Cost:
$0.000000
Provider:
Nvidia

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Aurora shoved the heavy oak door of The Raven’s Nest open, the bell above jangling a thin note that was swallowed by the low hum of conversation. Rain clung to her coat, dark patches spreading across the wool. She paused just inside, letting the warmth of the bar wash over the chill that had seeped into her bones during the delivery run. The scent of polished wood and old whiskey mingled with the faint smell of pipe tobacco that seemed to linger from another lifetime. Her eyes swept the room, landing on the familiar silhouette behind the bar. Silas Blackwood stood with his usual quiet authority, a glass in one hand, a rag in the other. The slight limp in his left leg was barely noticeable as he shifted his weight to reach for a bottle high on the shelf. Silas: “Rory? Is that really you?” Aurora’s breath caught. She let out a short laugh, the sound surprised and a little raw. She brushed a strand of straight black hair from her forehead, the movement catching the light on the small crescent scar on her left wrist. Aurora: “Silas. I didn’t expect to find you here.” Silas pushed a stool toward her with a firm push of his forearm. The wood groaned under the weight, then settled as he motioned for her to sit. Silas: “You look like you’ve carried the world on your shoulders.” Aurora slid onto the stool, the leather cool against her thighs. She let her hands rest on the scarred wood of the bar, fingers tracing the grain absentmindedly. The scar on her wrist caught the light again, a pale crescent that reminded her of a childhood fall she had long tried to forget. Aurora: “Life has a way of reshaping you.” Silas poured two measures of amber whiskey into heavy tumblers, the liquid catching the low light and throwing tiny reflections across the bar top. He set one in front of her, the other he kept close to his chest. Silas: “I heard you left Cardiff. Thought you’d be arguing cases by now.” Aurora lifted the glass, feeling the weight of it, the warmth seeping into her palm. She stared into the depths of the whiskey, seeing not just the liquid but the flicker of a younger self hunched over law books in a cramped flat in Cardiff, the smell of rain on cobblestones outside her window. Aurora: “I studied law. I wanted to be someone who could fix things. Then… things fixed themselves in a way I didn’t expect.” Silas nodded, his hazel eyes studying her face as if trying to map the lines that time had etched there. He took a slow sip, the whiskey burning a trail down his throat. Silas: “Evan. That name still surfaces in the old reports. He made a mess of more than just your heart.” Aurora’s jaw tightened. She set the glass down with a soft click, the sound sharp in the quiet between the bar’s murmur and the distant clink of glasses. Aurora: “He tried to make me small. I ran. I ended up here, delivering food for Yu‑Fei’s Golden Empress. It’s honest work. It keeps me moving.” Silas: “Moving is good. Stagnation is the real thief.” A silence fell between them, not uncomfortable but thick with the things left unsaid. Aurora glanced at the rows of old maps and black‑and‑white photographs that lined the walls—images of Soho from decades past, of faces she didn’t know, of streets that had changed while she was away. Aurora: “I used to come here after lectures. Silas would let me sit in the corner with a tea and a map, dreaming of places I’d never see.” Silas: “You always had a restless mind. I remember you sketching routes on napkins, thinking about how to get from point A to point B faster than anyone else.” A faint smile touched Aurora’s lips, surprised at the memory rising like a tide. Aurora: “I still think in routes. Only now they’re delivery paths through London’s back alleys, avoiding traffic, finding the quickest way to a hungry customer.” Silas: “And you still find the quickest way.” He lifted his glass again, this time not to drink but to gesture toward the door where a courier slipped in, soaked from the rain, a insulated bag slung over his shoulder. Silas: “See? The city keeps moving. People keep needing.” Aurora followed his gaze, watching the courier exchange a quick nod with Silas before disappearing into the kitchen. She felt a strange kinship with the stranger—someone else navigating the same streets, same rain, same relentless pace. Aurora: “We all become couriers of something, don’t we? Delivering pieces of ourselves to whoever will take them.” Silas: “Or losing them along the way.” Aurora’s eyes drifted back to her scar. She traced the edge with her thumb, feeling the slight ridge beneath her skin. The memory of the accident that caused it—a fall from a bicycle when she was ten—flashed behind her eyelids, brief and sharp. She remembered the sting, the panic, the way her mother had rushed to her side, voice trembling but steady. Aurora: “I used to think scars were marks of weakness. Now I see them as maps of where I’ve been hit and still kept walking.” Silas: “And where you’re still heading.” He lifted his glass once more, this time in a small toast that required no words. Aurora mirrored the gesture, the clink of glass soft but distinct, a sound that seemed to echo in the quiet space between them. They drank. The whiskey warmed their throats, spread a low heat through their chests. The bar continued its low rhythm—glasses being wiped, laughter murmured from a corner, the occasional hiss of the espresso machine from the kitchen behind the bead curtain. Aurora glanced at her watch, the face scratched but still ticking. She realized she had been standing at the door for longer than she intended, the rain outside now a steady drizzle that turned the streets into shining ribbons. Aurora: “I should get back. The last delivery won’t wait.” Silas: “Go then. The night’s still young, but the roads are merciless.” She rose from the stool, the leather sighing under her weight. She paused, hand resting on the bar for a moment, feeling the solidity of the wood beneath her palm. She looked at Silas one last time, his hazel eyes steady, his posture relaxed despite the lingering ache in his leg. Aurora: “Thanks for the drink, Silas. For remembering.” Silas: “Anytime, Rory. The Nest’s always got a seat for those who need it.” Aurora turned, pushed the door open, and stepped back into the rain‑slicked night. The bell above the door gave its soft chime again, a farewell that blended with the distant hum of traffic. She pulled her coat tighter, stepped onto the wet pavement, and let the city’s pull guide her forward, each stride a quiet affirmation that she was still moving, still delivering, still becoming.
created_at"2026-03-11T23:16:08.246Z" 3/11/2026, 11:16:08 PM
model"nvidia/nemotron-3-super-120b-a12b-20230311:free"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3400
moderation_latency(null)
generation_time53773
tokens_prompt1110
tokens_completion3638
native_tokens_prompt1024
native_tokens_completion3280
native_tokens_completion_images(null)
native_tokens_reasoning1858
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0
router(null)
provider_responses
0
endpoint_id"970aecad-f13b-4ec3-9362-e1758aea3e56"
id"chatcmpl-abed420f5d0d6b93"
is_byokfalse
latency223
model_permaslug"nvidia/nemotron-3-super-120b-a12b-20230311"
provider_name"Nvidia"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773270968-QMpSDncpftGD9ZIRrnyV"
upstream_id"chatcmpl-abed420f5d0d6b93"
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Nvidia"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.73% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1172
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
31.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1172
totalAiIsms16
found
0
word"warmth"
count2
1
word"chill"
count1
2
word"familiar"
count1
3
word"weight"
count4
4
word"tracing"
count1
5
word"depths"
count1
6
word"flicker"
count1
7
word"etched"
count1
8
word"silence"
count1
9
word"navigating"
count1
10
word"traced"
count1
11
word"echo"
count1
highlights
0"warmth"
1"chill"
2"familiar"
3"weight"
4"tracing"
5"depths"
6"flicker"
7"etched"
8"silence"
9"navigating"
10"traced"
11"echo"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences68
matches(empty)
58.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences68
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1167
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount865
uniqueNames7
maxNameDensity2.54
worstName"Aurora"
maxWindowNameDensity4.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Blackwood1
Aurora22
Silas18
Cardiff1
Soho1
persons
0"Raven"
1"Nest"
2"Blackwood"
3"Aurora"
4"Silas"
places
0"Cardiff"
1"Soho"
globalScore0.228
windowScore0.167
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount3
matches
0"tobacco that seemed to linger from another lifetime"
1"as if trying to map the lines that time had etched there"
2"sound that seemed to echo in the quiet space between them"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.571
wordCount1167
matches
0"not just the liquid but the flicker of a younger self hunched over law books in a cr"
1"not uncomfortable but thick with the things left unsaid"
2"not to drink but to gesture toward the door"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean28.46
std19.08
cv0.67
sampleLengths
085
155
26
341
49
528
611
753
88
939
1013
1154
1223
1333
1420
1528
1626
179
1848
1928
2029
2114
2225
238
2432
259
2636
2718
287
2962
3025
316
3239
3341
3439
3510
3612
3751
388
3914
4065
94.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences68
matches
0"was swallowed"
1"being wiped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs126
matches
0"was still moving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences68
ratio0.059
matches
0"Aurora glanced at the rows of old maps and black‑and‑white photographs that lined the walls—images of Soho from decades past, of faces she didn’t know, of streets that had changed while she was away."
1"She felt a strange kinship with the stranger—someone else navigating the same streets, same rain, same relentless pace."
2"The memory of the accident that caused it—a fall from a bicycle when she was ten—flashed behind her eyelids, brief and sharp."
3"The bar continued its low rhythm—glasses being wiped, laughter murmured from a corner, the occasional hiss of the espresso machine from the kitchen behind the bead curtain."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount870
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.020689655172413793
lyAdverbCount2
lyAdverbRatio0.0022988505747126436
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean17.16
std8.1
cv0.472
sampleLengths
027
111
224
323
413
518
624
76
83
913
1025
119
1213
1315
1411
1511
1617
1725
188
1924
2015
2113
2215
2339
2423
2520
2613
2720
283
2925
3026
319
3214
3334
3428
3529
3614
3725
388
3932
409
4118
4218
4318
447
457
4614
4722
4819
4925
42.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.1323529411764706
totalSentences68
uniqueOpeners9
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences45
matches(empty)
ratio0
51.11% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences45
matches
0"She paused just inside, letting"
1"Her eyes swept the room,"
2"She let out a short"
3"She brushed a strand of"
4"She let her hands rest"
5"He set one in front"
6"She stared into the depths"
7"He took a slow sip,"
8"She set the glass down"
9"He lifted his glass again,"
10"She felt a strange kinship"
11"She traced the edge with"
12"She remembered the sting, the"
13"He lifted his glass once"
14"She realized she had been"
15"She rose from the stool,"
16"She paused, hand resting on"
17"She looked at Silas one"
18"She pulled her coat tighter,"
ratio0.422
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences45
matches
0"Aurora shoved the heavy oak"
1"Rain clung to her coat,"
2"She paused just inside, letting"
3"The scent of polished wood"
4"Her eyes swept the room,"
5"Silas Blackwood stood with his"
6"The slight limp in his"
7"Aurora’s breath caught."
8"She let out a short"
9"She brushed a strand of"
10"Silas pushed a stool toward"
11"The wood groaned under the"
12"Aurora slid onto the stool,"
13"She let her hands rest"
14"The scar on her wrist"
15"Silas poured two measures of"
16"He set one in front"
17"Aurora lifted the glass, feeling"
18"She stared into the depths"
19"Silas nodded, his hazel eyes"
ratio1
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences45
matches(empty)
ratio0
74.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount4
matches
0"Aurora shoved the heavy oak door of The Raven’s Nest open, the bell above jangling a thin note that was swallowed by the low hum of conversation."
1"Aurora glanced at the rows of old maps and black‑and‑white photographs that lined the walls—images of Soho from decades past, of faces she didn’t know, of stree…"
2"Aurora followed his gaze, watching the courier exchange a quick nod with Silas before disappearing into the kitchen."
3"She realized she had been standing at the door for longer than she intended, the rain outside now a steady drizzle that turned the streets into shining ribbons."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
68.8832%